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Machine Learning Intern Jobs in Denton, TX (NOW HIRING)

Micron

Intern - Design Architecture, HBM

Richardson, TX · On-site

The HBM Design Architecture Intern supports earlystage research, performance modeling, and tool ... Good understanding of LLMs, Machine learning developments. As a world leader in the semiconductor ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Denton, TX

Machine Learning Intern information

See Denton, TX salary details

$23.9K

$39.9K

$82.5K

How much do machine learning intern jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning intern in Denton, TX is $39,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,500.00 and $43,100.00 per year, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

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Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Denton, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $39,927 per year, or $19.2 per hour.

Risk Consulting Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Dallas, TX • On-site

$29.25 - $48/hr

Full-time

Posted 5 days ago

Job description

Industry/Sector

Not Applicable

Specialism

Conduct and Compliance

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As a Risk Consulting Intern, you will engage with clients to help them navigate regulatory requirements and enterprise risks through compliance, governance, and controls solutions. Within our Advisory practice, you will be part of a team that guides clients towards sustainable growth and competitive advantage in today's dynamic market. This role offers a unique chance to gain exposure to a variety of industries and develop a comprehensive understanding of risk management strategies.
As an Intern, you will support teams by participating in projects, focusing on learning and gaining exposure to PwC's practices. You will perform basic tasks and conduct research while observing professional work environments. This position emphasizes the importance of taking both observational and participatory roles on teams, allowing you to develop your personal brand and contribute to the team's success.
In this role, you will have the opportunity to apply a learning mindset, actively listen, and express ideas clearly. You will gather information from a range of sources to analyze facts and discern patterns, all while committing to understanding how the business works and building commercial awareness. This experience will be invaluable as you start to establish your career in risk consulting.
Responsibilities
- Supporting teams in conducting compliance reviews and risk assessments to identify gaps and benchmark against best practices
- Participating in the implementation of compliance programs, including defining areas of risk and setting standards
- Observing and learning from professionals in the field to gain exposure to PwC's practices and methodologies
- Assisting in the preparation and submission of regulatory reports to validate adherence to laws and regulations
- Conducting research on regulatory requirements and enterprise risks to support client projects
- Engaging in active listening and accepting feedback to enhance personal development and contribute to team success
- Collaborating with colleagues to maintain ethical practices and drive compliance with regulations
- Applying a learning mindset to understand business operations and build commercial awareness
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Business Administration, Data Analytics, Business Analytics, Economics, Statistics & Business, Regulatory, Public Health
- Preferred cumulative GPA: 3.3
- Preferred major GPA: 3.3
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Demonstrating enthusiasm for learning and gaining exposure to risk management practices
- Supporting teams with basic tasks and research in regulatory compliance
- Participating in projects that focus on compliance and governance solutions
- Observing and learning from PwC's Conduct and Compliance methodologies

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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